Mountain roads are affected by various factors such as topography, which limits the overall alignment of mountain roads and frequent traffic accidents. In order to study the accident factors of a secondary road in a mountainous area, three-year traffic accident data on a two-way two-lane secondary road in the mountainous area was analyzed. Using the binomial logistic model, the consequences of the accident are divided into serious accidents and general accidents as dependent variables, and time, weather, road conditions, alignment and month are used as independent variables for analysis. The results show that time, alignment and month have a significant impact on the severity of the consequences of a traffic accident. According to the results, the influence degree of each influencing factor is analyzed. According to the results, suggestions for mitigating the serious consequences of the accident were put forward from the aspects of strengthening safety facilities, improving safety awareness, and safety management.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Analysis of influencing factors of mountain secondary highway accidents based on logistic regression model


    Contributors:
    Jiang, Jin (author) / Meng, Yun-wei (author) / Wen, Lang (author) / Gong, Wei-yong (author) / Qing, Guangyan (author)

    Conference:

    International Conference on Smart Transportation and City Engineering 2021 ; 2021 ; Chongqing,China


    Published in:

    Proc. SPIE ; 12050


    Publication date :

    2021-11-10





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Analysis of influencing factors of mountain secondary highway accidents based on logistic regression model

    Jiang, Jin / Meng, Yun-wei / Wen, Lang et al. | British Library Conference Proceedings | 2021


    Prediction of aviation accidents using logistic regression model

    Mathur, Priyam / Khatri, Sunil Kumar / Sharma, Mayank | IEEE | 2017


    Influencing factors for railroad-highway grade crossing accidents in Florida

    van Belle, G. / Meeter, D. / Farr, W. | Elsevier | 1974


    Forecasting Model of Maritime Accidents Based on Influencing Factors Analysis

    Wang, D. / Yin, C.Z. / Ai, J. | British Library Conference Proceedings | 2013


    Factors related to highway crash severity in Brazil through a multinomial logistic regression model

    Lucas Franceschi / Luciano Kaesemodel / Vera do Carmo Comparsi de Vargas et al. | DOAJ | 2022

    Free access